{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as stats\n",
    "import seaborn as sns\n",
    "from sklearn import preprocessing\n",
    "import random\n",
    "\n",
    "import keras\n",
    "np.random.seed(1337)\n",
    "\n",
    "from keras.preprocessing import sequence\n",
    "from keras.optimizers import RMSprop\n",
    "from keras.models import Sequential\n",
    "from keras.layers.core import Dense\n",
    "from keras.layers.core import Dropout\n",
    "from keras.layers.core import Activation\n",
    "from keras.layers.core import Flatten\n",
    "from keras.layers.convolutional import Conv1D\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "### Parameters for plotting model results ###\n",
    "pd.set_option(\"display.max_colwidth\",100)\n",
    "sns.set(style=\"ticks\", color_codes=True)\n",
    "plt.rcParams['font.weight'] = 'normal'\n",
    "plt.rcParams['axes.labelweight'] = 'normal'\n",
    "plt.rcParams['axes.labelpad'] = 5\n",
    "plt.rcParams['axes.linewidth']= 2\n",
    "plt.rcParams['xtick.labelsize']= 14\n",
    "plt.rcParams['ytick.labelsize']= 14\n",
    "plt.rcParams['xtick.major.size'] = 6\n",
    "plt.rcParams['ytick.major.size'] = 6\n",
    "plt.rcParams['xtick.minor.size'] = 3\n",
    "plt.rcParams['ytick.minor.size'] = 3\n",
    "plt.rcParams['xtick.minor.width'] = 1\n",
    "plt.rcParams['ytick.minor.width'] = 1\n",
    "plt.rcParams['xtick.major.width'] = 2\n",
    "plt.rcParams['ytick.major.width'] = 2\n",
    "plt.rcParams['xtick.color'] = 'black'\n",
    "plt.rcParams['ytick.color'] = 'black'\n",
    "plt.rcParams['axes.labelcolor'] = 'black'\n",
    "plt.rcParams['axes.edgecolor'] = 'black'\n",
    "\n",
    "\n",
    "def train_model(x, y, border_mode='same', inp_len=100, nodes=40, layers=3, filter_len=8, nbr_filters=120,\n",
    "                dropout1=0, dropout2=0, dropout3=0, nb_epoch=3):\n",
    "    ''' Build model archicture and fit.'''\n",
    "    model = Sequential()\n",
    "    if layers >= 1:\n",
    "        model.add(Conv1D(activation=\"relu\", input_shape=(inp_len, 4), padding=border_mode, filters=nbr_filters, kernel_size=filter_len))\n",
    "    if layers >= 2:\n",
    "        model.add(Conv1D(activation=\"relu\", input_shape=(inp_len, 1), padding=border_mode, filters=nbr_filters, kernel_size=filter_len))\n",
    "        model.add(Dropout(dropout1))\n",
    "    if layers >= 3:\n",
    "        model.add(Conv1D(activation=\"relu\", input_shape=(inp_len, 1), padding=border_mode, filters=nbr_filters, kernel_size=filter_len))\n",
    "        model.add(Dropout(dropout2))\n",
    "    model.add(Flatten())\n",
    "\n",
    "    model.add(Dense(nodes))\n",
    "    model.add(Activation('relu'))\n",
    "    model.add(Dropout(dropout3))\n",
    "    \n",
    "    model.add(Dense(1))\n",
    "    model.add(Activation('linear'))\n",
    "\n",
    "    #compile the model\n",
    "    adam = keras.optimizers.Adam(lr=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-08)\n",
    "    model.compile(loss='mean_squared_error', optimizer=adam)\n",
    "\n",
    "    model.fit(x, y, batch_size=128, epochs=nb_epoch, verbose=1)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def test_data(df, model, test_seq, obs_col, output_col='pred'):\n",
    "    '''Predict mean ribosome load using model and test set UTRs'''\n",
    "    \n",
    "    # Scale the test set mean ribosome load\n",
    "    scaler = preprocessing.StandardScaler()\n",
    "    scaler.fit(df[obs_col].reshape(-1,1))\n",
    "    \n",
    "    # Make predictions\n",
    "    predictions = model.predict(test_seq).reshape(-1)\n",
    "    \n",
    "    # Inverse scaled predicted mean ribosome load and return in a column labeled 'pred'\n",
    "    df.loc[:,output_col] = scaler.inverse_transform(predictions)\n",
    "    return df\n",
    "\n",
    "\n",
    "def one_hot_encode(df, col='utr100', seq_len=100):\n",
    "    # Dictionary returning one-hot encoding of nucleotides. \n",
    "    nuc_d = {'a':[1,0,0,0],'c':[0,1,0,0],'g':[0,0,1,0],'t':[0,0,0,1], 'n':[0,0,0,0]}\n",
    "    \n",
    "    # Creat empty matrix.\n",
    "    vectors=np.empty([len(df),seq_len,4])\n",
    "    \n",
    "    # Iterate through UTRs and one-hot encode\n",
    "    for i,seq in enumerate(df[col].str[:seq_len]): \n",
    "        seq = seq.lower()\n",
    "        a = np.array([nuc_d[x] for x in seq])\n",
    "        vectors[i] = a\n",
    "    return vectors\n",
    "\n",
    "\n",
    "def r2(x,y):\n",
    "    slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)\n",
    "    return r_value**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "87000\n",
      "83919\n"
     ]
    }
   ],
   "source": [
    "df1 = pd.read_pickle('varying_length_25to100_1.pkl')\n",
    "df = df1[df1['set']=='random']\n",
    "print len(df)\n",
    "## Filter out UTRs with too few less reads\n",
    "df=df[df['total_reads']>=10]\n",
    "print len(df)\n",
    "df['utr100'] = 75*'N' +df['utr']\n",
    "df['utr100'] = df['utr100'].str[-100:]\n",
    "df.sort_values('total_reads', inplace=True, ascending=False)\n",
    "df.reset_index(inplace=True, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16739\n",
      "15555\n"
     ]
    }
   ],
   "source": [
    "human = df1[df1['set']=='human']\n",
    "print len(human)\n",
    "## Filter out UTRs with too few less reads\n",
    "human=human[human['total_reads']>=10]\n",
    "print len(human)\n",
    "human['utr100'] = 75*'N' +human['utr']\n",
    "human['utr100'] = human['utr100'].str[-100:]\n",
    "human.sort_values('total_reads', inplace=True, ascending=False)\n",
    "human.reset_index(inplace=True, drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Take the top 100 UTRs with most sequencing reads at each length from 25 to 100nt as the test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel/__main__.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7600\n"
     ]
    }
   ],
   "source": [
    "e_test = pd.DataFrame(columns=df.columns)\n",
    "for i in range(25,101):\n",
    "    tmp = df[df['len']==i]\n",
    "    tmp.sort_values('total_reads', inplace=True, ascending=False)\n",
    "    tmp.reset_index(inplace=True, drop=True)\n",
    "    e_test = e_test.append(tmp.iloc[:100])\n",
    "print len(e_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel/__main__.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7600\n"
     ]
    }
   ],
   "source": [
    "subhuman = pd.DataFrame(columns=human.columns)\n",
    "for i in range(25,101):\n",
    "    tmp = human[human['len']==i]\n",
    "    tmp.sort_values('total_reads', inplace=True, ascending=False)\n",
    "    tmp.reset_index(inplace=True, drop=True)\n",
    "    subhuman = subhuman.append(tmp.iloc[:100])\n",
    "print len(subhuman)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Used the held-out random sequences as the traing set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "76319\n"
     ]
    }
   ],
   "source": [
    "e_train = pd.concat([df, e_test, e_test]).drop_duplicates(keep=False)\n",
    "print len(e_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# One-hot encode both training and test UTRs\n",
    "seq_e_train = one_hot_encode(e_train,seq_len=100)\n",
    "seq_e_test = one_hot_encode(e_test, seq_len=100)\n",
    "\n",
    "# Scale the training mean ribosome load values\n",
    "e_train.loc[:,'scaled_rl'] = preprocessing.StandardScaler().fit_transform(e_train.loc[:,'rl'].reshape(-1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/3\n",
      "76319/76319 [==============================] - 77s 1ms/step - loss: 0.5213\n",
      "Epoch 2/3\n",
      "76319/76319 [==============================] - 77s 1ms/step - loss: 0.3078\n",
      "Epoch 3/3\n",
      "76319/76319 [==============================] - 76s 989us/step - loss: 0.2630\n"
     ]
    }
   ],
   "source": [
    "model = train_model(seq_e_train, e_train['scaled_rl'], nb_epoch=3,border_mode='same',\n",
    "                   inp_len=100, nodes=40, layers=3, nbr_filters=120, filter_len=8, dropout1=0,\n",
    "                   dropout2=0,dropout3=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model.save('Varying_length_25to100_model.hdf5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = keras.models.load_model('Varying_length_25to100_model.hdf5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r-squared =  0.8376560383135313\n"
     ]
    }
   ],
   "source": [
    "e_test = test_data(df=e_test, model=model, obs_col='rl',test_seq=seq_e_test)\n",
    "r = r2(e_test['rl'], e_test['pred'])\n",
    "print 'r-squared = ', r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "r-squared =  0.7778260561473255\n"
     ]
    }
   ],
   "source": [
    "seq_e_test = one_hot_encode(subhuman, seq_len=100)\n",
    "sub_human = test_data(df=subhuman, model=model, obs_col='rl',test_seq=seq_e_test)\n",
    "r = r2(subhuman['rl'], subhuman['pred'])\n",
    "print 'r-squared = ', r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "bins = np.arange(24, 105, 20)\n",
    "labels = [ '25-44' , '45-64', '65-84', '85-100']\n",
    "\n",
    "e_test['rng'] = pd.cut(e_test['len'], bins=bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bins = np.arange(24, 105, 20)\n",
    "labels = [ '25-44' , '45-64', '65-84', '85-100']\n",
    "subhuman['rng'] = pd.cut(subhuman['len'], bins=bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_24_44=e_test[e_test['rng']=='(24, 44]']\n",
    "df_44_64=e_test[e_test['rng']=='(44, 64]']\n",
    "df_64_84=e_test[e_test['rng']=='(64, 84]']\n",
    "df_84_104=e_test[e_test['rng']=='(84, 104]']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "human_24_44=subhuman[subhuman['rng']=='(24, 44]']\n",
    "human_44_64=subhuman[subhuman['rng']=='(44, 64]']\n",
    "human_64_84=subhuman[subhuman['rng']=='(64, 84]']\n",
    "human_84_104=subhuman[subhuman['rng']=='(84, 104]']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.rcParams['xtick.major.size'] = 6\n",
    "plt.rcParams['ytick.major.size'] = 6\n",
    "plt.rcParams['xtick.minor.size'] = 3\n",
    "plt.rcParams['ytick.minor.size'] = 3\n",
    "plt.rcParams['xtick.minor.width'] = 0.5\n",
    "plt.rcParams['ytick.minor.width'] = 0.5\n",
    "plt.rcParams['xtick.major.width'] = 1\n",
    "plt.rcParams['ytick.major.width'] = 1\n",
    "plt.rcParams['axes.linewidth']= 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sub1 = pd.concat([df_24_44,human_24_44])\n",
    "sub2 = pd.concat([df_44_64,human_44_64])\n",
    "sub3 = pd.concat([df_64_84,human_64_84])\n",
    "sub4 = pd.concat([df_84_104,human_84_104])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SXcR6+6CQx2m3sWZszNndZCd3gRJh5HKk1/TDvibMDVMpW8wYPTQzKbrVBvXZ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4x4Mqb3//6KaQ7KRYmCpVPrlHD8hC+f+ChJQM40ObxXJJwGnLoSzqceQfeCpVFjt1nAF2XUQsai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Cpk2bIjc3F4mJibh27Ro2b96M8PBw9OjRw/CqlsiKjR49Gu3atYNcLseWLVvg6+uL2NhYAEBK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\nERERGez/AVLrfJ49qHuxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fac9cbbdd50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c1 = sns.color_palette(\"hls\", 8)[0]\n",
    "c2 = sns.color_palette(\"hls\", 8)[5]\n",
    "f, ([ax0, ax1, ax2, ax3]) = plt.subplots(nrows=1, ncols=4, sharex=True, sharey=True)\n",
    "f.set_size_inches(9,3)\n",
    "\n",
    "ax0.scatter(df_24_44.loc[:, 'rl'], df_24_44.loc[:, 'pred'], alpha=0.2, s=1, color = c2, label = 'Random')\n",
    "ax1.scatter(df_44_64.loc[:, 'rl'], df_44_64.loc[:, 'pred'], alpha=0.2, s=1, color = c2)\n",
    "ax2.scatter(df_64_84.loc[:, 'rl'], df_64_84.loc[:, 'pred'], alpha=0.2, s=1, color = c2)\n",
    "ax3.scatter(df_84_104.loc[:, 'rl'], df_84_104.loc[:, 'pred'], alpha=0.2, s=1, color = c2)\n",
    "ax0.scatter(human_24_44.loc[:, 'rl'], human_24_44.loc[:, 'pred'], alpha=0.2, s=1, color = c1, label = 'Human')\n",
    "ax1.scatter(human_44_64.loc[:, 'rl'], human_44_64.loc[:, 'pred'], alpha=0.2, s=1, color = c1)\n",
    "ax2.scatter(human_64_84.loc[:, 'rl'], human_64_84.loc[:, 'pred'], alpha=0.2, s=1, color = c1)\n",
    "ax3.scatter(human_84_104.loc[:, 'rl'], human_84_104.loc[:, 'pred'], alpha=0.2, s=1, color = c1)\n",
    "#ax0.set_title('N$_{25}$ - N$_{44}$', size = 20)\n",
    "#ax1.set_title('N$_{45}$ - N$_{64}$', size = 20)\n",
    "#ax2.set_title('N$_{65}$ - N$_{84}$', size = 20)\n",
    "#ax3.set_title('N$_{85}$ - N$_{100}$', size = 20)\n",
    "\n",
    "ax0.set_xlim(0,9)\n",
    "ax0.set_xticks(range(0,9,2))\n",
    "ax0.set_ylim(0,9)\n",
    "ax0.set_yticks(range(0,9,2))\n",
    "\n",
    "ax0.text(x=.68, y=0.03, s='r$^2$: ' + str(round(r2(sub1['rl'], sub1['pred']), 3)), transform=ax0.transAxes,size = 10)\n",
    "ax1.text(x=.68, y=0.03, s='r$^2$: ' + str(round(r2(sub2['rl'], sub2['pred']), 3)), transform=ax1.transAxes,size = 10)\n",
    "ax2.text(x=.68, y=0.03, s='r$^2$: ' + \"%.3f\" %(round(r2(sub3['rl'], sub3['pred']), 3)), transform=ax2.transAxes,size = 10)\n",
    "ax3.text(x=.68, y=0.03, s='r$^2$: ' + str(round(r2(sub4['rl'],sub4['pred']), 3)), transform=ax3.transAxes,size = 10)\n",
    "leg = ax0.legend(loc='upper left', fontsize=10, handletextpad=-0.2, markerscale=5)\n",
    "for lh in leg.legendHandles: \n",
    "    lh.set_alpha(1)\n",
    "\n",
    "f.text(0.5, 0.0, 'Observed MRL', ha='center', va='center', size = 18)\n",
    "f.text(0.0, 0.5, 'Predicted MRL', ha='center', va='center', rotation='vertical', size = 18)\n",
    "f.tight_layout(h_pad=0.3)\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "f.savefig('Length_dependent_performance.eps', bbox_inches = 'tight',pad_inches=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hAWhp9dnt9g7PKS4uBiA+Pr7b9/bv1dxZmZ1NQWo9mGrv3r189dVXbX6+/vrr\nQLDsiYFX0dHRgZWqli9fftblCSH6Pgm+/UDImEsIHtHxKFpjzACibmi/LGJPCQ0N5d5770XXdf77\nv/+7w3Pi4+MDaeXOUrkff/wxiqIwceLEbt/bH6iPHDnS7lhNTQ0HDhxo93llZSXbtm1DURRWr14d\nSPWe/LNq1Sp0XWfjxo3U19d3u06due+++9B1ndWrV5/RlCohRP8iwbcfUBSFxAd/RcT0azAlJqNY\ngzCERxA0cjTx9zxIUOaQc3r/2267jaSkJL7++uvAfNaT/ehHP0LXdV5++WXy8vLaHHvppZfIzc0l\nPDycBQsWdPu+kydPRtd1/v73v2Oz2QKf19XV8etf/xqHw9Humo8++giv18uYMWNIS0vrtOz09HRG\njBiBx+Ppkdbq1KlTueuuu9B1nQceeIC33nqrw4U83G43+/fvP+v7CSEubNLn208oRiOxd/4Y3eNB\nO16Hag3CEB7eK/c2m838/Oc/57HHHsPhcHTYt3vrrbeSk5PDsmXLmD9/PuPHjyc6OpqDBw9SUFBA\nUFAQf/3rXzuditOR22+/nQ8++ICDBw8ye/ZsLrnkEhwOB/v27SMpKYkZM2awfv36Ntf4N1HoaJOE\nk82dO5cDBw6wZMkS7rzzzk7P6+6W2I8//jjR0dEsWrSIv/zlLzz//POBjRUAqqqq2L9/P06nk7Cw\nMGbPnt2tcoUQfY+0fPsZxWTCFBd/TgJvVwOm5syZQ1ZWVpfnPPXUU/z1r39l7NixHDx4kLVr1+Jy\nubj55pv5+OOPT3tgU1hYGP/85z+ZO3cuiqLw6aefUlxczC233MI///lPwsLC2tRnx44dlJaWYjab\n+c53vnPK8q+//nqMRiP5+fns27ev0/NOZyene+65h/Xr13P//fczbNgw8vPzWbNmDZs2baKyspIp\nU6bwxz/+kU2bNvG9732vW2UKIfoeRe/u13bBl19+ydixY9mzZw+XXXbZ+a6OEEKIPkpavkIIIbpN\n8+rkHXWgeaXddjYk+AohhOi2/CIn23Ns5Bc5z3dV+jQZcCWEEKLbMlOtbf4UZ0aCrxBCiG4zGhSy\n04POdzX6PEk7CyGEEL1Mgq8QQgjRyyT4CiGEEL1Mgq8QQgjRyyT4CiFEH6RrGo5v8tA17XxXRZwB\nCb5CCNEHOY/mY9u1HefR/HNSvgT3c6tPB9+33noLVVW7/LnmmmvOdzWFEP3Y+VrxyZqeSdiESVjT\nM4GeD5ZsEpmBAAAgAElEQVTnOrhf7Pr0PN9LLrmE3/3udx0e+/DDDwO73QghxLniX/EJ6NX5r4rR\nSNDQ7MDf/cESaPP5mfIHdf+fomf1y40VPB4PSUlJNDY2UlJSEtiy7WzJxgpCiJNpXp38IieZqVaM\nhu7tbnUu6JqG82g+1vRMFGPPtKt0TcNx+BAAQUOyzqrcc1G/vqxPp507s3TpUmpra7nhhht6LPAK\nIS5eXaV0/Ss+nRx4ezsd7W8JdzewdfRMJ3/mPJpPw4Y11K9fc9bpZ0ljt9Uvv3688cYbKIrCT37y\nk/NdFSFEP3AmKd1TpaPPtCV4Oi3tru7R0TP5P9N8OqXmNDJSM4iYcS1w9ulna3omutfb8qNpF33r\nt989/bFjx9i4cSPJyclce+2157s6Qoh+4Ez6P0+1AcGZ9tGeTh9zV/fo6Jn8vxcpySfuEUb2sBFt\ngri/3NP90qAYjSgGA7Zd21EMhh7pl+7L+l3w/d///V98Ph8/+tGPUJTz1/8ihOg/Th7c1B0G3Uuq\nVoRBz6Sjf2rPdECTP5hnJBtxfJPXZRDs6h4dPZP/s0yvDgZj4F7Oo/nYdnyOq7gIc1IKTXt2Ad3/\n0uBvrWekZhDWSX0uNv0q+Oq6zuLFi1FVlf/4j/84ozLKy8spLy/v8Fhubu7ZVE8IcRE5Vcv2VAH9\n5PRy679npwfh+CYvUL41PbNda/RM0ton38PPmp6Jq7gIV2kJ5qSUNlOcuuPb1noY2Rd5i9evXwXf\ntWvXUlxczDXXXENqauoZlfHqq6/y+9//vodrJoTorzoLcmc7Vefk9HL+0Sb2b94PV48ke0hYm/K7\n6r9t/VnrOnc0irmzlLZiNBIxdcYZj1aWPYDb61fBtycGWt1zzz3ceOONHR7Lzc3lBz/4wRmXLYTo\nf04epORvqXoVA0XGVDIVQ4f/0AZSsclGtKIjgWDalH+YUkMKaakh4NVIdheia0NI9pagug+Q6I0E\nhrVpOfuvNaZmkHfYRpK7CFXzYIpPwDIorcM6N2xYg66DYjAEAnhGagYQRlqKhbyjjjaDus4k9e53\nOnsAXyxTkvrNk9XV1bF8+XKio6OZO3fuGZeTmJhIYmJiD9ZMCNGftR+kdKKl2sXAKM2rs2F7A6UV\nbjhWQXTJnsCx8g3b+No0nKLhw5k8oBzHFzswqgqhmUMYqCrtWtIel4cj23PJmDSMI6Ua+zfuRS1Z\ngwUXpth4zInJeCrLCb9iKqq1peVpGZSGdegwzEnJbVrOYUD20GzyjjrOauGQswmgPb1YyIWq3wTf\n//u//8PtdnPHHXdgMpnOd3WEEBeJzgYpdZVqzS9yUlLhIiXBQsb4YWhF5kBQTZyhU1AVR2mFm9IB\nCSQkJmEZlNZpy/PI9lwqN38GmpsB3mpGhjRjtqqgWwgaNhx3WSmNWzfh82ioJiPhV0zFdawQT1UF\n1rTBAOheL6FjJ2BNz0Tz6ni9OhNGhwbqfrrB9GwC6MWysla/Cb7+lPOPf/zj810VIcRF6OTUauu/\nnxy8MlOtLSllbwlGwxCMJ1qfxtQMSg0pXD6ghPLEFJLcRdgO7EP3+oicfg2K0dhuIFbGpGEADHAU\nU796OdawcMKnXI01NQ1jajpHP91LRPZwvJqP2o3r8PogaspUXMVFWAal4Th8iIYNawi/eibOo/kU\nKcns2udg0iVhgZRzd4Op/zn9qe7TCaCtn6s/t3j9+kXw3b17NwcPHmTixImMGDHifFdHCNFP9NTS\nkScHL9XjImrnRzTWVqG7r6XsYAmRrgrqy9zsP2wH59foMYmUul2Yjx2jqdFNRZ2XtBtnsfXL5pZ0\ntVcjVS/FMiiN1CQzWlM8qtWCGmRFUVWChmSRu/UA1Ws3QowBtDBq1QF44y8h+Fgh7vIyXMcKAdB1\ncJSWUpdfSuK0K5h0SVqbFrs/iFoGpXU5velsWrzna43s86VfBN/x48fj9XrPdzWEEH1QVwH2bAOC\nz+mkcdsWwi6/os30nMZtW2jO2YOuKNj2F1B5qBjig0iM1vFOzqJ2Sxl8vh2z10GI7uC4y47dfoRK\n49eU+pJIV8tIaFKpWb2ckMvGo1VVohtULMkDMQ6IxV1RhvNoPnrCQGqiMohJMmLc/zmxmouYyhys\n02YAJ1ad0jSCh4+gIvYSCvY341MT2j2rP+XdenpTR8H1bFLGF9uI6H4RfIUQojs66rvsKsD6A0FH\no3+74/inW6hb15Lqjbnm2xX3wq+Yiqu8HK2umgEjB6PrKkrebuqXF2OYPJdyYhkSbMA8/ArCsWMv\nsxGRlkbGd0eTsGM/ofu3UlEWhLGslODRl2BITKb6QD66OYb0G2/GV16KNT2TQfmHMUQ2UtsUQZDD\nS1DWCKqTxmI6lIdB99F0KI/SSg9RZWXE+kC1HieRCnQt7IymT/XWiOj+QIKvEOKi0VFatKsWlz8g\nBEb/nkj1+oPSqQYiVQ+cQEFsA4OVaKI1Dc2rB0Ymx936AxyHD6F7vSi6jq3Ji4JC0gAVousJ9UQS\neWkmJbnFFIUmMbKuEO/hAyRH+igvLqNWjyDKCz6Didq0yezf2Uh4cwXKzjwSlDosg9IISRsMA47S\nkF9LtMcGEQMo+GQLOPNRXc14rSEc9KUybMIIEgeYKTseycBBGW3ekykji/wiJ6kJBop25ZExaVi7\nZ71Ypgf1pF5/SytWrODJJ59EURT27Nlz6guEEKKHdNRy606Lyx+Yk92F2L7YAbQEb8fhQ9SvX0Pk\nzGsJHvbteBP/9J9BYzNhYAgRxTnUb6yhssZFXc5B0NykDgpF93qpXf4RZpud0PQhxF85Hm9FGVHN\n5WiKSt36NRiLjjLSGoaxoZay/H0Epw9GddowG02UxV2GOmgiiZ4SCi6/gqSqPUS7KqjbtA5XRRkh\nIy8h+Ohu0sPiMFqNWBuKyDCH4U0cxv76cJIb8wizVaDUhZD/VSnbGodSaDzOLbPTqStzE5WaEcgM\nVPiOoexvWVYy++rRbd7PmfT1XihbMZ4vvR586+rqyMnJkXWXhRC9zp8W9W+d192Wmj9Ae1yZlFZ4\niErN+LbMDv4pO7I9l8pNW9B3rMMQHIwSE4zj0EGCGxtRrOCrLKOxvBZTbByeulr0+nqCVPBWpuD4\nJhdUFceRb/DZmwEdc0wcblMKzpoaHEWVmOPSaHKFYswaSYK3nMOrt2F26pijwFXZiM9hx3H4MI6C\nAjzlFUTOGkO9KQjV5CIiyIJlWArKwSKsrka0gekkZKVQEp2ILSeS6uMam3c1UpFjwxtTT0LZF0wK\nj2XQxOEcG2AOjK5u7XT7enVNI/+zg+yoiQUiL6p0s5/kB4QQF53utNQ6SqUeKdXYXpeAt8CBoSKX\n9AlDiJz13cDAJf/5GZOGwcE9qEf2URoxFN+M64gr3onu89GkxLJrn50hoR6ys+LwuhVUHTw2Gz63\nC5/dTuTs67BFplGwrwB0CPKZGDzIiF5ZjMuuAm4SbPlYLZVU1KTgrKslIjwES1M9roKjoHnQysrQ\nvV4cBivb88PxpEzkCv0rwqvzsK1eTogCDoePxlCN6jXrSL3hO9yRngg6+Aq/wVD1Feqnh7AV5BAS\nFQ3JQaQmmTtspXa3r9ff2k12FxJVvIfLB44lMzXhzP9D9mESfIUQF53uTJ1pHaD9q0Clp6RCdAW+\nEo3Kz1rSz/4U7MkbHQy8aiyOjAQ8iePQ936O7egejGEhKKZqUkrL8KjwdUUZEV4DwfGpGG01VO/N\nQ61vQN+yifhJU+DrbTTbvRir6rCVGbHqXoiKpCEkDkNzISihmPJ2Ee8FVY3EY2uEsFAMVitehxOl\nsRHNFEJJtY+kwQaSZ81kz78HMGaKFZPiw1payuAaJ5YSOwbdx4jMYAA8g0ZgMqmkXTKQhpUqIaPG\n4PXplG/8jMQZOmHZ7Vu/3en39aewJ41KIXXiJOLSM1EuwpQzSPAVQlyEujN1pqONC0yFBYTnHcCc\nmY161aQ2KdjWAb1hywZcpSWEjb8cw1c7aNy9A0OoAUtaHEqNg8TMBOoIx/DNl1i9dqwDkrA3NmAr\nKidCq8ZZW05tyXGCm22EW8143AZMBh28OlSXY66tx6GbqAlOIJHDKBYDenU1aB6wWPGoVlRFgZAQ\nzKMnkFpYw6hUna/fW82aumyggTGRdbjz81Cr6vG6GtFbTdc0GhRSk8z4ystQ0DEEBVGkJLPfbMNn\nSKGjNm53sgmtB7cZDf1/IY2uSPAVQvR5pzN4p/W53d3v1n/c53bT9MVO3EcOkXptJiZLy1K2rVt9\nzqP5uEqKwWDEWVRIWFUeaoiRsMzB1McNo6CskAxvETFjx7DLHsWYmk2oxaW4HC5MXi8+FEDlsD2S\nIa4qQhzHUUxmCA3D0eTBborA7GvGpwehFRfjc7mwRQ0jdkQUWtFRNK8BV00lFrMR1agQfPQrxjc1\n411XQpKtmrlR1SSVN9D4TSPNEQMp9JrIcNfjqawIPIfP7aZh4zqsQ7MDy05mKgYwXNJmVHjr5+5O\nv+/FNp2oKxJ8hRB93qkWw2i9hd4x4yC273MEzu1OX2XrgVq614stJ4eio7UkefYTmpFJ47YtuIqL\nsRcUUKNEEebx4Nj5Oeb0TCyJiUQPHU7tV/vQDxwgbcRkgutVLJ5yRjUfwFRTjIqHUEABNMWIHhJO\nYkY81vxCFHsTqtuB4zg4zOGEqC6CQkwEhUbiCw6h6UgM9VX1mGzVxKQlQm0NiteJzxCFITwMr6MJ\n3eslzxFL9ogsxs2ZTuO2T7F9sRPFVkfVgAkMTEinMnk83g3rcB86iHVoNt4mG017dmFNbVlX2tjB\nu/UvTRkxo2W098WwLGRPkeArhOjzTrU6Uust9JKv+Q4TRqXi9eloXv20prl4FQMluWWoX31Js3c/\nFckJxI0fjaukGG+zjYbdOTSXV6I7ajH5PDQXl2OMiSe3aQAOexgJ9ccIaqwjZNgIbLu2E1F8GB86\nqEZUVcGFAZ+mY2mqI+7oTgzhQfgcRrw61ASn0mQMZYh2FBqcGKsr0VUjmlch0edC8eh4SUTXPOgG\nM7WWOGJ0DT1mEByvJsZWDOoAVIuV0KkzqVQGEO2tYeLAUfiqStn/6SEyyvcSY3ECEHLZeJzf5J7y\nneh6996dzAVuS96AEKLPO1U605qeScSMlhWmgjKHYDjmYXuODYPa/rqugkR+kZOd6hgmjHMR7PUS\nFReM5ZKxVOw+QPiAYEIHhuMqL8GHAQ8+jpBMQn4ldfGDiBg+CnexQoynFrcrFnu9HaOuowBOHyg+\nharQFCKaSjECbk3BUl6OGxWTqpDsKEBHx6C50QENFcXrwYoXDRMoCs12D8baGlSvlwHNZVDvoCYq\ni5ioWGIjolHz91H6yjc0Tb2dgq+PoZprSTCpuMrKGBCZRZktnaAkE5aqCkIvG49qMmIdnNHmnXgV\nw7cbIAzJanlnXi/NuQcIGpLVaWC9WLYK7C4JvkKIfk8xGjEPHd4SNBQDGck6HKsgIzmq3bnOo/nY\ndnyOq7iIiKkz2gSTzFQruEOI3GNDq6/EWdpM7ZEKHKXFED6CuJQEIoYMotmp4C4rJ7VhH6YGH1m1\nhXjCBlCuJhLpq6a5pAKtrgYNAxa8mNDQgUTHMYy40TCgOBpQ8WHCh8EHqmoETWt5HkAJi0RxO/G5\nmjHhA4MRr8MBJjOEWTCarfiq7IS5qvFGjsE3MAtvzluoiovgJhsZIfFED03FOCAO3efjsvgQKmob\niRt9ORW1Pqw+neaDBzAnpQAEFhM5Zklvk+JXDIZAVkExGDoNrBfLVoHd1e3gazAYzmU9hBD92IWw\nmlHrfuFUrYjokj1oRWaM6ZmB/uCgIVlY0zNxFRfhPFZMxZI1ZNw0C5PFhK5peI7mE19cQOOBfSgh\noei6jh4WjvXyacRlp1CzZh2hiTFED4mjKj4N+/ZPMbqbcXosWI4fJ1q1o4cb0aPiUOrrsYfEYrSV\nYMSHBphCgsHmQdW9BAEaoKPgtYag6log+GIyYTQqoCkoIeGYIsJxhQzAUVaOwWBCdTrxNTTiCwqh\n1hSLVmInWKlECxuEJcxDWHw84amDMSel0LBhDT6fj2AdUqZP4phxEJ9X2cjK20Gq7gu8P/9iIien\n+FtnFboKrGez7nN/1O3gq3c3sS+EECe5ELaLax00DHrbaUT169egKN+23CKmzqBiyRoqcwsgIZfM\nKaPI/+wgUcV7CL10LNbhI3EUHsXdaOf4gcNEXjub3N2FmCqPQ+lRFIORhqBkIiZfTbU5gZimYkxf\nrkf3ujHWuyHEimYNRnU7UPDhAwwAjfVw4ncPLYFXQcHp8mHQ3aj+h/F6USMjcLmj8KaPQktIIfTw\ndgy4MCXEoYaE4Tx8GC0pgwRFgdQU4oelURWqEhNjIChlIKrZjHVwBsy4FmdRIY5DB7EMHERmeigV\new/hKSujKCWT+PShGA0KisHQkoo3KGQNMuE8cgjDidS8f2nN01057GLW7bdz1VVXyZKQQojTomsa\nTfmH8SrJTBgVel63izMaFDJTre02bLcMSiMoexjmxORAy00xGsm4aRbE7SMpViU/r5aCLw7hG5HN\n8SqNxNGXotXVEHLJOHz1GvqBXShFlRh8HlSTCgaVuNpDqIdqyB4+iganA4PTjoaODviKjmA0WXGb\nBrSkkOHbwArotATglrN1gvXmNscU1YDbqeKuLMdeaaPWNIA0UzVBBh2togJtaBL7E2fSbI7mctun\nhPvqsX+2HrWgGJtRx52WjuLTiZh+DcqJrKbu8+EqOUbQkCwmf3cEu+tKOBw+jphSrd2o8M76b6Vf\nt/u6HXw3b958DqshhOiPnEfzKd+wjVzzCEbOuOS8L6DfUQvcdawQT3k5iqpC9vDAuSaLidSUYGy7\nthOpqGRW7UMLtlFZ5YQrx5MwYhSGqBjMW97G2dhMmKKge3x4QqyoLgeq5kavrOB4g4PakESiLaFo\nLicqHjRA9TiJ9VW0CbooKphNKB4Nn8+LCvgTvzoKXnQ8GLBoGkplAao5FKPHhdnRQA2hJOvNKK5m\njIUHGH7ND/BVleOtbKLh0BF88anUm91ERVswud1oFWXY9uzGU1+Lo8ZGWFYG7vKWfYABMoOOE5NQ\nR2Zqcrv32Fn/rfTrdp/kBYQQ54w1PZPEGTo+Q8o5bfV2dxpL69Sz/xrLoDRcxUW4SktwHs0PzOd1\nHs3HlJAABpWY2ddjTUggaMJk9C+O4tO8OIuLsG9Yi6u6lnI1jtAQE0b3cUyNNXhQ0VEx+3RcXoVI\nVx2qyYTP5aEZM1bsqIDqbenD1Wlp/aL7wGjC51PB50BDxdgyGQk7VoJwYMCHhorB50XXFYIMXnTF\niSNjFN5yJ7rTiamxkYiyHOz79tPgVPHa7YRMHk3U6GDSJwzh+Mfv4y4swPFNLq7QOOpcFsqMQ7l0\ndBRFSjIZg6yEeb2EnXi3eUVam/56xWgMpOxbv3Pp1+0+Cb5CiHNGMRoJyx7W4XKEPam76U7/lCSf\n00nVR//EU1NF9KzriJg6A+fRfAwpqeRt/pqkaB371g2okdE4cg8AELvgdgBURWFXZSRj9h0iuK4U\nAxDnK8Nsg2aCWvpuT6xTBRCkNWF0ufGiEORPO584ZgC8KICOyokAbG8KnKOeaPu6UPCinkhR67gx\n4MBKvRpDsuMIGj5M3+zEgAPvgHh8ZitaeRmqw4YxYiANTishJlNgHerYm28FwFVQQEgw1MaMpEAd\njKsuiLIqBxiMpBoM2HZtp67Sy/a6ls0PWvfXS4r57JyX4Nvc3Mwrr7zCwoULz8fthRAXkDMZCX1y\nS/d0052N27bQ/NUedFXF43RR+OkB9MTBKJ/n0rBhDYwaRpgPGuKyiVQUdJeL+o3rAIgqLyerwo3P\n1owWEg3OJizelsFQQRZQXeDFgAcvRsDgdZ/ow9VPBFROzNMFzRKC4nLgOxF8/cNa/YHYjYYZMKPT\nbApC82p4fToW3BjRCHIcRQWsUWGoCqj19aBpVBuCifVByIgxuDMnUpLnJXHQkMC7cx0rJPbmW3EW\nHAEgIX0oMaUaaSkWjhxz4vXqGFMzCIOW7RNLtXaZC0kxnx311Kf0HJvNxp/+9CfS0tL49a9/3Zu3\nFuKCpnl18o460LwX36wCfz9s/tEmHN/kofun05zQ0bvxt7r8/ZP+dGdHKWf/CFx/ubqmYYpPJHjU\nGIwRkZTvL6Bq5UrW/GM3Ho+PmHADA6JM2EZOY0djKrXjbqLOnEDl1m3YDn6NYjYQNmxkS+BWjOhe\n74lhUeDGhAcVg0FFU0LQMaEBXlqlllUDCi0tH10F8GGgpaXrf3L/nwomPJhRgFDNBj4f4EPDgCkk\nBIOqogNBmRnoAxLBGoTqcxFrdGA1aQQNzSIifycTRofiVQwcyG+mKf8wtl3bcR0rJHjYCIKHjcBk\nMZGdHoTVrGJQFXbta+JIqYY1PROt6AhZg0ztvhh19c7FqfXKW6urq+O5557jpZdeoqGhAV3XZeS0\nEK1cCFNxzhd/iyrZXYjti5Zt+lqnMTt6Nx21uvytYWNqBkdKv+2jPDk96jyajz1nD4aEZJzlx4mK\ntnDcrODy6JRZBjI2LR5vZTnJl6czflAEx8pcVJUGM6zWDnEpWD1eYtR6KiKiCA7W0R3H0WJScFZX\nUeqJIQQzEQaN+uA4EuxHMfpaD5oCn897YiQzKA57oDXswoCRlkDubwVbIkPx1dejAhbdRTNGNIwY\ncNMQnowTJ5HNZTgPF9BkiiF6YBZBXhuhl00gaHA6uteLK/8QqgobPqsj0nYMZg3DkDKWqNSMDvvK\nW/eLO48cktTyOXLawbeoqIi//vWvrF+/nuLiYoxGI4MHD2bBggXcf//9REREBM5tamrimWee4bnn\nnsNutwfmCsfGxvLQQw/13FMI0cedam3i/szfD6trQzCqSrs0ZkfvpqOBPf4gW1fmbtNH2TpQa16d\no74klOTL0OMHcrAokvCgNMZMUXDVGRlybBXu+mpCho8mNHMIhnwb+va1jGzMJ1RpwhMSQ5VqpuGo\nDavdjs/lRjUaMDmOo4WGE9HcRCQ1GNyQ4K7HgIoHMPnrfeJPfyu4dZrZihcv4MFArSmJmIxkDJX5\nqCfO0gErGl40jIClqZzQyAHohnCip03FHDaIxCidxtXLUeKT2bWvidEZJixDsoiPNnBJVSlxzQeo\n2m/mqDoISjVStaJ2wbX1Up3qicFolkFpZ/zfV3TstILvunXruPnmm7Hb7cC3C2/s3buXvXv38n//\n939s2rSJhIQEtm3bxu23305xcXHgvOTkZB5++GF++tOfEhR0cX27F6IrstVaxwHVv6pUViebrrdu\n7RYpySSPu5yMwZlwov8y76iDtBQLRcZUMk+sSbx2WwNRDY1MGF1IePZQGvIO0Vh7gNTjJThdbgxh\n4VgGDkIxGokt3oV6bCNoHnSfj5JDRUQ1lBCkuzFaLRiCrXiMZoy2WoJ0Bxavp+VZaGntKvgwAoqi\n4tN9gVat98SfhhPn+n90wBQShD1iEElVh9CP17QEbIMBxWBAd2uYIiPB68EYFkbo0HR8DceJGJpJ\n4rAR2A7sx6GGUrizAMf+/ZRurSY8IRqX4QBO02CqB42hkBRSEiztFhvpiOtYYcv0o4Ij3y6yIWnm\nHtHtt1hdXc33v/99mpqaAp+FhIRgNBppaGgA4JtvvuGBBx7gF7/4Bddeey1utxtd1xk8eDCPPfYY\nP/zhDzGZTJ3dQghxgTvTnWnOdHnJk7esO7m8ZHchji92BFq7ky5JI9tiIjvdRN5RB9tzbBSVuSir\ncgMtredrB9dh2LmdoF3NTJ4zn2NXjcT9RTU+r5eIgfGEjx1H0JAsdE3DmpiI7/JZNHzxBVENRaRW\nfQWAajJhCLLiqm/EqVsJ03woPi0wiMbDtwNqVMCr+wLpZf9qVv4A7ePbwKsANruXrw1JJDbvxXLi\nXN3rxeDzoYaGYgwORomLo67OS+rIS1HqKlv6nTWNUnMq+2OuIGjwYLSCMsyuKqxpgwmNTYDDxQwY\nNgJXQxBXjA1rt9hIR/xBWfd6Jf3cw7r9/56///3v1NXVoSgKN998M0899RTp6ekAVFRU8Oc//5mX\nXnqJZcuWsXv3blwuF2FhYfz5z3/mnnvuwSjfloTo8850esnZ9Gl3tLKtv7xJo1JInTCJqNQMvMUe\n3E43Bzd+w5Arhrekqb0aiZ4SyuNTSEuxkF/kZMgVw2nSymjOO4BBVcBo5KO60cQoYUxPiiQheziK\n0YjjmzyavtqDL/kywuKS8X38KjgdaBgxmS34KstQUPCERaHQBE4t0LdrpGXQVOuAq/JtQG6dcvYH\nY9+J66w4+I59JYpiwIHlxK5FYDSYMJvNoCjU1no4XB9G044jxDccxcpOvIqK15zOsGljyBhkpTDx\n+0TkrGLA3JtRLVaCB+dTpCRTdtjBtj22wBeS7PSgTr8ctd7H2N/yFT2j2xFx7dq1AFx++eV88MEH\nbY4lJCTw4osvYrPZeOuttygpKSEyMpJPP/2UESNGdFScEKIPOtPpJSf323a3JRw0JKvDf/Rbl2c0\ntHwJMKgauz/5msGln6LiJXv6ZaTqpTTu2ka0xUSh90a2H/QAYQy9ahoAPrcbpTQPiEZBRfliA4fw\nkjwwlOCBAzluimNXVQyJCWbGfGcOx7dswVxXBfaWbJ+GSrjtWCCQtv6eoACq0YzXp6P4PLR5SoMB\nn9cbWFZSp+UfY39LOMjrQDMHUZJ5Ncl6BVRVYvY0YggOJvzKq2mq0YjZ9TUhFXZKDeEkee0c2dfI\nF/bjjBwSTNbgIAapldT//+y9aXBb933v/TkLdgIEd5AACRIARVKUqJ0StURyLMdO2jjX6c2TNo3d\n2+Rp3KaTzLQzfZOZZNK8aGf6jJN0eqczbZ6kkzpPepPcOGmS23iJbMmWRO0bKe4bSAIE9wUgsZ2D\n87wAAZEUJVESZcs2vi8smjjLH/9z+P/+f9v3NzNNfNifbXTvUzWQZFzles5cDlPtMgC3b47WPp+c\neFajjPIAACAASURBVMbmY8Pk29XVhSAIfPnLX77jMV/96lf54Q9/iCAIfPWrX80Rbw45fMDwIIvw\nekS7UUv4TvdbL0bucxtJ7bAgxmUqyvRAepMQvnyepbY27Cloaf401S4DPWfbsXbdJHnqTUzAZw5/\nmtTkLPH2ecYu9SFeGiHfVYJlZpJaaZH5q2NMRIfQxxfQUIkhIaNhQE1/R25ZuBlClQBBSWRjvInl\n3+lIu3HF5fMymc9wq9xIBkhEcU62EZeMmPYcZjySwldjJv/IUeT+fmRRo8TnZPL8NbQFM0NBhUk1\nSVvvEqIocLBAY21RSWbeugaijIWiDJ0dpu7w1ts2Rxt5Pg8agsghjQ3P2OzsLAA+3513vLW1tdmf\njxw58hDDyiGHHD4oWG8hX7vYb2Qhv5e1LEsCDUebiFWaVzVIsH/q/2JmNok4Pg6X36I/dYyLUyXs\nL9mCNBJEii+R399KeC7BQlTD5hSQRkZZXAihRBMUSePYpydJkUJDWSZTPZq9EONcIHv/dBKVgLAs\nppFBJr6r51a2c8YNvZJ4NUAUZMyagiDrEEUd+iIzWlhjNqJxcbwAceQCyf5uBC1FviSh9s9jCvWg\nb2hkvyOPPaU2prv6GRh1cjZVzsHjH8fkq2UtfG4jDE9SMHKZ2IAe05b6VSS7kez7nMLVw2HDIhvJ\nZDqLz2q13vGYvLy87M8Oh+MhhnV/+MUvfsFTTz1FcXExZrMZj8fD5z73OQKBwL1PziGHHB4pfG4j\nLTutqxbyjAWWIdG1ohnroc8f4+yVMCda57OCG5qisNR5k6XOm+m4pCwju710n+4gGU+vWQMBhcGl\nfGbHF5i91o4QGGTfznyGyg/S5n6WZFkNydkZFFct18s+il2YR4vHUObCxBdjaJIezWxhyVqBjvSi\naSOKdXEyTZxmC6LJhJRnRzKZs+pUGYJl+Wd1+edbHYsgaikk0yldzC/Esnc3gk6PZi1AX12FGtfQ\nInMUz/WxS+7FsDRNtG8AubgY27HjmLc2YTv6UWw7d1Mcuk7V5EW2xtvxykECEyoBffWqzUxGsASg\n7vBWbPtb1g0hrH0+68Ho8WFtXv/8HO6NR+YreLdENF588UW+973v4fP5+KM/+iOsVivBYJBTp07h\n9/txOm/vyJFDDjm8e9hIGdW9YsmaolAeG0IW7YyMLtL3TtpdurYXr85bx5lfX0dovwBA/bEmypOj\nRNQpilv2EO7qo3p3FT0hjQvX53g62oU+Mom6FEYS+ylVnUjzM8hl5cTGJjAmZ9EmoyiaiEaKJOlF\nUwCi6FEMFiykEKPzCKRJTSNNtJkkqqxmM7fc0gAqItHFBIblc8RolNjVK2iKwnxCQhVKKDGEMBcV\nYnGWQXCSqS37kfMNJHZ9BLM4TvTa5SwBinp9uknE8BCH3F4cK8qtMt6CtV6Ih7FYc3Hgh8P72lH/\nj//4j3zve9/jK1/5Ct/97ndvI/xUKnWHM3PIIYdHifuNB95rIY8N9DH+1hlMukaqCnUUjLQRG0iT\njamuAX1Fuhdvtz/GQKoCz7ZmvC0NAIzpXAwU7EDtvk7RUAczv/oFXYt1+LouYNU60QqtJG0l6EY7\n2a7zo7dZiBkLGcyrxyN2oysuQB0eIV+dz8o+ioCcjCAiI8pClnDhVslQRlIS0qSrAQlDPqb4PAIg\nkSKfCIIkI5ZVYfRWsxiYRA72ErFXUjDcQWLrLqqOtzA8EmH2yn9yUytAiRhR4mGe8cao2tOM0eND\nFaS0cMZIijpv3fKG51a5FaTJ9sMs5vK44b7J90//9E+xWCwPfZwgCJw4ceJ+b59FLBbjW9/6Fj6f\nj+985zvrWtqi+K5KV+eQw4cCGyHWO9Xn3gvJeJL+1k68LQ0IspyN8a5sTeitMqL487It7ZKhMQRJ\nRPNtwZkY4uAuFz7PHgC6esM4Yn5CdolAvI4C2yALYj4FnW8hROdQdRqJMh9DYRO++CCi0UTMt4fk\nwjz+lBuHOo55LISoKqgIyAiIpFbU6iqklhlZQUZepudMKZGeW6VEACwTb5qsRRLI6O3FlH3kECGh\nhMXL/0GeKqAKEgmTHdHbiJrSKFanECrsHK6MIs36US3z0BFCrTicnqeBKK+9Mw9oSCs8DWvJNifm\n8vjgvsn30qVLd/08Q4J3O24ztJ1ff/11Zmdn+cIXvoCiKPzmN7+ht7cXu93O8ePH8Xq9D3X9HHL4\nMOF+RDAy8VlNVe+qerRefe690N/ayfjJ0+n/qapdZbWtbE2oW7aSjR5fthfv7DunmO4ZwfnkIWSp\nga6BKO0n2xGnT+MzC0RKt+A4mm4L6FeKSbSeJKXMER8dpVqLgqahRmOM9QQoHb9Bo9xFKj5PikVk\nIImAvEy8cEuVSgSSog4xpa6K52bivBkTQAEUdOhJophsxExFBIVCylKzUOxA6A2QFA0kzQUYyxy0\nJ3chdCkYbryKxQxlzTuwHjhE+NwZAiW7aX2zh2acNLIsHnLQghAYxOssyc7nZpDtgwqk5HB33Bf5\nag/y1/SIcPnyZQRBQBRFmpqa6O3tzX4mCAJ//dd/zT/8wz+8hyPMIYf3D+5HBGMjqkd3qs+9FzKu\n4ozlC7e7SNda3rZDR1k4c4pA6W4u3MyjWUgTkscBWCcp2/skqclx9KEx1HEd0c4O7IsmZkQNf0ET\nFqNA+UI/Eb0dY3KJwoUhRDVGmRpEAOLoSKIhGY3IyRiaqmTdz5m4rpZKpsU3SGXdz/rlfzOlQzIg\nkky7opNR5MQEZcIsEdlO5yU/NbpJZqx2RqyVeLVZDlRYSNbvR705i7nRTcBUQ+psH7ruYVJaGbP5\nHlieI1kS8AhBwsErKH5DdnOy3nzdLz7MTT8eJTb8JB63+OnExASapvHtb3+bvXv3cvHiRerr67l6\n9Spf+tKXeOmll/B6vbz44ovv9VBzyOGxx/3EAlVBSusop/zkLccc1+JBk3EEWYaq2nTW8h2stpUl\nLkaPj4Uzp4iNDCOOxxE0ezbQutT6NoYbb7M446TsT/6MSFcnY7/4FUY92GKz6MQws4qE6G7GtpRk\nWCnA2PYmYjJGAhkDynJdbjKdOBVbBIMBVVVuKxORAHW5DCmt3yyQQssmXqlk3M8SAiqykkSTJZZM\nRWglbhr/4Bj9//P/xTA7hljkoai+hrh/CP9Pvk9SNjNuqOBKeJFw2E5Vait7KmpoNGp4q249rzt1\nepo/dYLYyDDxET/5R5+8bwLOxYkfDd63CVeZzYDBYOCXv/wlZWVlABw6dIif/vSn7Nixg5deeum+\nyXdsbIyxsbF1P+vs7Hy4QefwgcXj4Jq70xg2Yvls1D2pKQp9pzu42RNGTHZS+dThDS/mmfG5HRL+\nC11ZKzcT49UZdOtaWYqq0T0YBQ3qPKZ0Ru9yp53YQB+JQABN1iF2XmK/0YI2lk+yZiu6snL0FRUk\nAwEWzrzD+DvnEEb7mC3xEJLLcKfGqZjrRjjfT8xswVFUQEJLIetklLiAxLJEpN6CmFhEREONx1Y1\nQVjZFCGjUJWuA9aQSQtrZGZHQ0RcdlqnENBZLeRXV1NBmNDPXmEqJhM21eK37gO9FePYAKapMRKu\nOnZtMVBisKBqNiS5FDQITkToH44hiUL6ma+z4Yn09TLR6cdWYCARCBAb6LvvTVEuTvxo8L4l30zr\nwr1792aJN4PGxkY8Hg/9/f0sLCxgs9k2fN1/+Zd/4W//9m83daw5fPDxOLjm7jSGzRRDiA30UTBy\nmUbfTsorDt1m9WYIttplYGg0nt0IKKrGidZ5AqEEIYazpUBANsZbf6xpXSurezDKz/9rApcaQPr9\nJtxagHgwSM+5HjzNteidfoJKPpNXA4hlXq705CF0vkyBUcFY7SGGhlRQiF5SUHRGdL56bG03USQz\ncqEFbWacSDIfbTqBEQ0tqaKZrWhLMwAYtGQ2W3llr90EIjKpVXrN0oqfM4QsiiKqIKFTkwiWPBRj\nHrFIHHM8gSZIREbH0SwJigw6Sj/7eSwRHR19UbTSZ2g0F7O7wUTi2kU8B3SY6uqz8yxJAqqq3fG9\nU1SNsxOlLOi3s31PPW5xPFeT+xjhfUu+dXV1ANjt9nU/z/w+Go3eF/m++OKLPPvss+t+1tnZyec/\n//n7HGkOHwY8Dq65O43hQfWY10PmGqXLVrSiavStU0e6tpPQidZ5hoMxqiqM7N/dhL9Yn7V8Aar2\n+Og6eQN38+2xSlIVuNRRtidu4ojl459MkCrfwcWJQvjVmxQkQlBewkDlMUobtuBsPYk0d5OUx8XS\njWsoszNE7UUIShJBr8MSCSCq00R0BWgpCRsaoihQUFVMrG0YeUVGsk4QUJOJbNODWyVFAoZl4s24\nlDP1v5kAXRIQEElUNxKeimBf8IMooVXWYZoKoJZW0jmTR34sHzmyhEVbJPTW2zieeQZnmR5JFKhS\nt7F04Sx6p2vV85OltLXbPRCluSlv3feuzx9jdELBtbUBX20+slQAPB5emhzex+T7xBNpYfT1XMGK\notDX14fFYqGkpOS2z++G8vJyysvLN2WMOXzwcKeF635dc49CF/dOY1gv/vqgC/Daa2XIVk1pSKKQ\nFepfafn2+WMEQgmqKowcbbalf39ke/a+dYe30vW/X2XkxiBjE3GGZDdAttG7a/cBRvc0sKW4iLFQ\nlPG3Wymtd7O/FApGxjG4XNQe3o5YHcMRHSK4t5LEhMRkoYMZm0Kdq5/C3/sks2I+Y92jOP1d6JUY\ntjwVTU2wKNox7jtCvKgUre06KZYbHsgyYZsT/UwAESVLsOn6XS1rAStAHD0WEsv1vWmV57R2s0gi\nvITeamFWqEESVJK9fgoLdRR6nVRPthGvKMWmVxieFnktsp2CE1N8tmkBb0sD/cMunM0HyfPV3qZU\ndaJ1ntFQnEO708ZFRkxD0lQifb2ogpMDO6zUrVGq2oiXJkfQjx4b/qv/1re+tek3/8Y3vvHA53o8\nHj72sY/xxhtv8P3vf58vfvGL2c/+/u//nrm5OV544YVcrW8Om4rNci9vhiv4YRbIh/keK++bsbjW\nc3+uV2u63n1jA30IEwEWzA62bNtCuVGPz21ETKZju2NaCZGuLsY8espL9VBfiT0+jq28BsF1MGsR\nOobPsnSzDXlJoz3ppKj11wwYarGIA+iKW7EnZ6DMhN5WSXRmkeT8AmY1TF6BnUK7QHysnciyXasC\nakpEW1okpTeiKQqkVFIks5rMKrdcyypCurRINmPeuYvopfOoKCQNNqzRcQTNzPCuZwm3tSMIKeyH\nDjIrQmwuTJ9tL968RcYce9hp1LPHOkbByFX64VaP4mXizcy9mtIIhBK4HIa0BTyYrvN9+kg+ntQw\nYyfO0KlvpOHYjtvekczzWKt+tVnvRw4bw4bJ95vf/OamS0Y+DPkC/PM//zOHDh3iS1/6Er/85S+z\n2c5vvvkmNTU1uVKjHDYdm+Ve3gxX8MMskA/zPdbeN9OCTlp2ha6FfBfRBwDZ7SW1LU6Ds4Y6nzVL\nBNH+IRJjQUpSsH2mDcNkhHHJgvOTH0fWbcl6DVKxGJM//18ok5Poa+tQ58EXSyCGFpANQcyzE0yH\nFjGFRolQgFLVQNvkLDWRs+iEJLr4OAu/+QUphKwUpISAajCgT0bRK4uogIIefVZiA8KY0JPAiIqO\n+DIha8xORDALAglMmOz5MDdGwiDCjfO4FwbR6QSEuS04troRKgopcEWxJ2YpqpjFd2Q7klZEbMBI\nodsLAQWf20gskeLUhQXKi3Vc7likeXseB3eYcKqjSFrecoa3BhqrBElUAc5dmYPhSeoOb12VRb5W\n/SoDRdVQVe2O7uwcNgf37e/arFrfzSByj8fDpUuX+MY3vsGrr77KG2+8gcPh4Ctf+Qpf//rXKS4u\n3oSR5pDDLWxW5udm6OI+DIE+zPdYl0CXr5cR7l9rTa21lldaY/0BhfNz5bRU61adk9mYGKqqMblc\nDA+HGbgxwuBkKU8eKUFYPnbhzCkWr15GNJkJl9Yz0T2E0SQzU/0R3LWlyCcnMCwMER0YYkGOEc8r\npWHuAhJREjoLukIziZkFpEQkTb6CkF7nomFURBSWE6hkHZKgISZTWYI2LruoIZ3ZrGkC+p37SJWU\noPPUY+k/T2xyhNj0PGHJRqx0B9XbKrkg7mS/3oKjeTvWA4dIBEYpq6om3t+N5PFl3w2fO63y1T8c\n5bXTCzx92JZtUpHs7yZ86RyyKOCt3kLjuBmv24ggi1lBEkXVkEb7VnUvWu85rnw+ff4YF9oitOy0\n5lzOjxD3Tb4mk4lPfepTvPDCCzQ0NNz7hEcMp9PJ97///fd6GDnk8K7iYWNyDxNzvhtxZzoP+YNx\nnmzJX7d/L5D9ua5KhzMxRMtWB87EEJpSiypI2e9m2lKPomoMGzyUVw4Rvnadtqu9dJcb8QhBjB4f\n5paPEBqLUVwo4zh4EIZ70c8Nkp9fgW0uTFRSEVTQypwUxhSMnb9DTsRYkgwsaTrUcIowhQgGOw51\nAsGejyDrUENBjMt2roiATg8YrAizM6jAkmDEIGvok9GsspWgLjF2rZvEx/6YJ1vyYXEbvf/Pt5mZ\ngahYROUffBZX3jSClE95cpTxrhEk5wjW+gaiPV0snG/FH0xkY+KZeSstlCm0S1Q6DNm5l1Z4T7qH\n0wluQ/5F3Fog+1xlSVhuQKG/zcuy8jmutIIfh+TBDwM2/Ff35JNP8tZbbxGNRvnJT37CT37yE/bs\n2cPzzz/PH/7hH953YlMOOeTw4HjYmNyj6sXqcxvxB+OMhuJ0D0Szrmif24iaSrszvStijt2n2ynw\nX6JQLxFNqsiigF92r0riUlUtbYltd2HZd4C5gUJCVzuQB98mv2kbr8d3YQwXs3O0FVGEPINCXFWQ\nA93EwzYko4V4Xy9RIQ9DapFULEpKANVezNyikbLULJYiG8YZP6KmQnQJqawcebk3b7p8SEBXUU5y\neoaU3sQcZhKaBa1+K4x0IM3NkRR0GE06zAaV6Rs36CvbhVsLUeBzk1rQKJicojR0ke6OUXzPHGRs\nSuGmroGk4EQaiOJ1e5kNJjg3VQL+2KpGCNUuA94q021W6i0LOT1KZ2KI8KVzq57rRrwsKwk3V9f7\n7kD65je/+c2NHPjCCy/wZ3/2Z5SVlREKhRgfHycYDPLaa6/x3e9+l4sXLyJJEj6fD3mTsjcfN4yN\njfGv//qvvPjii7mM6BzeU9htMhaTlE5MEte3fDVFIdbXg5xvR9UEeoZi2G0yoigg59uRzJa0hbSJ\nSYmiKFDtNJBnltCA89cjWEwSJfkCMzc66Lwygr6gkHqfhT5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vxqU1Uz45Sk3obcyKg4X8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\n/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/LtXQ9DQ0M0NDRgMpmIx+NbOXwGn1IkLphqPE5ssJ/G2nqEJ5CdJBnYn8x/uFCr0FDp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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fac9c818b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c1 = sns.color_palette(\"hls\", 8)[0]\n",
    "c2 = sns.color_palette(\"hls\", 8)[5]\n",
    "atg = e_test[e_test['utr'].apply(lambda x: 'ATG' in x)]\n",
    "n_atg = e_test[e_test['utr'].apply(lambda x: 'ATG' not in x)]\n",
    "r_squared = r2(e_test['rl'], e_test['pred'])\n",
    "atg_obs = atg.loc[:, 'rl']\n",
    "atg_pred = atg.loc[:, 'pred']\n",
    "\n",
    "n_atg_obs = n_atg.loc[:, 'rl']\n",
    "n_atg_pred = n_atg.loc[:, 'pred']\n",
    "\n",
    "f, ax = plt.subplots()\n",
    "f.set_size_inches((5,5))\n",
    "ax.scatter(atg_obs, atg_pred, alpha=0.5, color=c2, label='uATG', s=1)\n",
    "ax.scatter(n_atg_obs, n_atg_pred, alpha=0.5, color=c1, label='No uATG', s=1)\n",
    "ax.set_xlabel('Observed MRL', size=20)\n",
    "ax.set_ylabel('Predicted MRL', size=20)\n",
    "ax.text(x=.71, y=0.03,s='r$^2$: ' + str(round(r_squared, 3)), transform=ax.transAxes, size=16)\n",
    "ax.set_ylim((0, 9))\n",
    "ax.set_title('Modeling', size = 20)\n",
    "leg = ax.legend(loc='upper left', fontsize=16, handletextpad=-0.2, markerscale=6)\n",
    "for lh in leg.legendHandles: \n",
    "    lh.set_alpha(1)\n",
    "sns.despine();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7FBYWAhAbG9vma/vWam7pnC0NQWqYTLV//3727dvX6OvAgQP+YNkRiVdRUVH+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\ngPrdxEd0dFsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fac9c7fff10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c1 = sns.color_palette(\"hls\", 8)[0]\n",
    "c2 = sns.color_palette(\"hls\", 8)[5]\n",
    "atg = subhuman[subhuman['utr'].apply(lambda x: 'ATG' in x)]\n",
    "n_atg = subhuman[subhuman['utr'].apply(lambda x: 'ATG' not in x)]\n",
    "r_squared = r2(subhuman['rl'], subhuman['pred'])\n",
    "atg_obs = atg.loc[:, 'rl']\n",
    "atg_pred = atg.loc[:, 'pred']\n",
    "\n",
    "n_atg_obs = n_atg.loc[:, 'rl']\n",
    "n_atg_pred = n_atg.loc[:, 'pred']\n",
    "\n",
    "f, ax = plt.subplots()\n",
    "f.set_size_inches((5,5))\n",
    "ax.scatter(atg_obs, atg_pred, alpha=0.5, color=c2, label='uATG', s=1)\n",
    "ax.scatter(n_atg_obs, n_atg_pred, alpha=0.5, color=c1, label='No uATG', s=1)\n",
    "ax.set_xlabel('Observed MRL', size=20)\n",
    "ax.set_ylabel('Predicted MRL', size=20)\n",
    "ax.text(x=.71, y=0.03,s='r$^2$: ' + str(round(r_squared, 3)), transform=ax.transAxes, size=16)\n",
    "ax.set_ylim((0, 9))\n",
    "ax.set_xlim((0, 9))\n",
    "ax.set_title('Human Test', size = 20)\n",
    "leg = ax.legend(loc='upper left', fontsize=16, handletextpad=-0.2, markerscale=6)\n",
    "for lh in leg.legendHandles: \n",
    "    lh.set_alpha(1)\n",
    "sns.despine();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fit the coupling efficiency on total reads in terms of UTR length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bins = np.arange(24, 105, 10)\n",
    "labels = [ '25-34' , '35-44', '45-54', '55-64', '65-74', '75-84', '85-94','95-100']\n",
    "\n",
    "\n",
    "e_test['rng'] = pd.cut(e_test['len'], bins=bins)\n",
    "e_test['r_reads'] = e_test['total_reads']/float(max(e_test['total_reads']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def func(x,r,a):\n",
    "    return a*(r**x)\n",
    "from scipy.optimize import curve_fit\n",
    "medians = e_test.groupby(['rng'])['r_reads'].median().values\n",
    "med = []\n",
    "for i in medians:\n",
    "    med.append(i)\n",
    "length = np.arange(27.5, 105, 10)\n",
    "popt,pcov = curve_fit(func, length, med)\n",
    "mi = pd.DataFrame({'length':length, 'eff':func(length,*popt)})\n",
    "print popt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lS5ao3EZ0dDQAlLuGSfH+jRs3VH5mbm4uAKBp06Zl3le8HxUVVe4z/vjjD2RkZODFixew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Xk+bzjOb7zxBkNCQpQ4bty4QT8/P+p0OgohWLt2be7evbu4iltoBR2HUaNGsXLlykxM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\nZaL8gXUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fac9c20b510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.boxplot(y='r_reads',x='rng', data=e_test, palette=sns.color_palette(\"Set2\", len(labels)),\n",
    "                linewidth=2, boxprops={'edgecolor':'black','linewidth':1.5}, medianprops={'color':'black', 'linewidth':'1.5'},\n",
    "                whiskerprops={'color':'black', 'linewidth':1.5}, flierprops={'markerfacecolor':'black', 'markersize':2,\n",
    "                                                                           'linestyle':'none'})\n",
    "ax.get_lines()\n",
    "f = ax.get_figure()\n",
    "sns.pointplot(x='length', y='eff', data=mi, ax = ax)\n",
    "\n",
    "\n",
    "f.set_size_inches((6,6))\n",
    "ax.set_xticks(range(0,len(labels)))\n",
    "ax.set_xticklabels(labels, rotation=45, size=14,horizontalalignment='center');\n",
    "ax.set_ylabel('Relative Total Reads', size=20)\n",
    "ax.set_xlabel('UTR Length', size=20)\n",
    "ax.set_ylim(0,1)\n",
    "\n",
    "ax.text(x=.29, y=0.93,s='Coupling Efficiency Fit: ' + str(round(popt[0], 3)), transform=ax.transAxes, size=16)\n",
    "ax.tick_params(axis='x', which='major', top=False, bottom=True, labelbottom=True, length=8, pad=0, width=2)\n",
    "ax.tick_params(axis='y', which='major', right=False, length=8, pad=5, labelsize=24, width=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "f.savefig('coupling.pdf', bbox_inches = 'tight',pad_inches=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Length dependent statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def inframe_aug_vector(utr, kozak_len, exclude_inframe_stop, codon='ATG'):\n",
    "    frame = 0-len(utr)%3\n",
    "    cds = 'ATGGG'\n",
    "    #cds = ''\n",
    "    for i in xrange(0, len(utr) - 2):         \n",
    "        if frame == -1:\n",
    "            if utr[i:i+3] == codon:\n",
    "                if (i + len(cds) > len(utr)):\n",
    "                    cds_to_add = cds[:i + len(cds) - len(utr)]\n",
    "                    stop_info = find_stop(utr, i)\n",
    "                    return -1, utr[i-kozak_len:len(utr)+1] + cds_to_add, stop_info[0], stop_info[1], i\n",
    "                else:\n",
    "                    stop_info = find_stop(utr, i)\n",
    "                    return -1, utr[i-kozak_len:i + len(cds)], stop_info[0], stop_info[1], i\n",
    "\n",
    "            frame += 1\n",
    "            continue\n",
    "        \n",
    "        if frame == -2:\n",
    "            if utr[i:i+3] == codon:\n",
    "                if (i + len(cds) > len(utr)):\n",
    "                    cds_to_add = cds[:i + len(cds) - len(utr)]\n",
    "                    stop_info = find_stop(utr, i)\n",
    "                    return -2, utr[i-kozak_len:len(utr)+1] + cds_to_add, stop_info[0], stop_info[1], i\n",
    "                else:\n",
    "                    stop_info = find_stop(utr, i)\n",
    "                    return -2, utr[i-kozak_len:i + len(cds)], stop_info[0], stop_info[1], i\n",
    "            \n",
    "            frame += 1\n",
    "        \n",
    "        if frame == 0:\n",
    "            if utr[i:i+3] == codon:\n",
    "                if (i + len(cds) > len(utr)):\n",
    "                    cds_to_add = cds[:i + len(cds) - len(utr)]\n",
    "                    stop_info = find_stop(utr, i)\n",
    "                    return 0, utr[i-kozak_len:len(utr)+1] + cds_to_add, stop_info[0], stop_info[1], i\n",
    "                else:\n",
    "                    stop_info = find_stop(utr, i)\n",
    "                    return 0, utr[i-kozak_len:i + len(cds)], stop_info[0], stop_info[1], i                 \n",
    "            frame = -2\n",
    "            \n",
    "    # return the intended start codon if no uAUGs are found\n",
    "    uorf_len = 0\n",
    "    stop_index = 0\n",
    "    uaug_index = 0\n",
    "    return 3, utr[len(utr)-kozak_len:len(utr)+1] + cds, uorf_len, stop_index, uaug_index\n",
    "\n",
    "def find_stop(utr, inc_i):\n",
    "    codon_count = 0\n",
    "    #75 is the length of this UTR construct.\n",
    "    for i in xrange(inc_i, len(utr) - 2, 3):\n",
    "        codon_count += 1\n",
    "        if utr[i:i+3] == 'TAA':\n",
    "            return codon_count, i\n",
    "        if utr[i:i+3] == 'TGA':\n",
    "            return codon_count, i\n",
    "        if utr[i:i+3] == 'TAG':\n",
    "            return codon_count, i\n",
    "    return 0, 0\n",
    "\n",
    "def simple_label_uaug_status_combine_uorf(frame, uorf_len, codon='AUG'):\n",
    "    if frame == 3:\n",
    "        return 'None'\n",
    "    if frame == 0:\n",
    "        if uorf_len == 0:\n",
    "            return 'IF u' + codon\n",
    "        else:\n",
    "            return 'uORF'\n",
    "    if frame < 0:\n",
    "        if uorf_len == 0:\n",
    "            return 'OOF u' + codon\n",
    "        else:\n",
    "            return 'uORF'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7600\n"
     ]
    }
   ],
   "source": [
    "e_test['full_utr'] = 'GGGACATCGTAGAGAGTCGTACTTA' + e_test['utr']\n",
    "e_test['tmp'] = e_test['full_utr'].apply(lambda x: inframe_aug_vector(x,5, False, codon='ATG'))\n",
    "e_test['uaug_frame'] = e_test['tmp'].apply(lambda x: x[0])\n",
    "e_test['kozak'] = e_test['tmp'].apply(lambda x: x[1])\n",
    "e_test['uorf_length'] = e_test['tmp'].apply(lambda x: x[2])\n",
    "e_test = e_test.reset_index(drop=True)\n",
    "print len(e_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "e_test['simple_uaug_status_text'] = e_test.apply(lambda x: simple_label_uaug_status_combine_uorf(x['uaug_frame'], x['uorf_length'], codon='AUG'), axis=1,)\n",
    "e_test['-3'] = e_test['kozak'].str[2]\n",
    "e_test['-3'] = e_test['-3'].apply(lambda x: x.replace('T','U'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bins = np.arange(24, 105, 20)\n",
    "labels = [ '25-44' , '45-64', '65-84', '85-100']\n",
    "\n",
    "\n",
    "e_test['rng'] = pd.cut(e_test['len'], bins=bins)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "e_test['rng'] = e_test['rng'].apply(lambda x: x.replace('(24, 44]','25-44'))\n",
    "e_test['rng'] = e_test['rng'].apply(lambda x: x.replace('(44, 64]','45-64'))\n",
    "e_test['rng'] = e_test['rng'].apply(lambda x: x.replace('(64, 84]','65-84'))\n",
    "e_test['rng'] = e_test['rng'].apply(lambda x: x.replace('(84, 104]','85-100'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WrFhhpnSW3bt3a/HixZo9e7Zf5/fq1Uvt27eXdP5OLcHWXjweT4FX03C5XNl+zS+Hw5Hn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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fac9b42c2d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['None', 'IF uAUG', 'OOF uAUG', 'uORF']\n",
    "codon = 'AUG'\n",
    "ax = sns.boxplot(y='rl',x='simple_uaug_status_text',hue = 'rng', data=e_test, order=labels,palette=sns.color_palette(\"Set2\", 4),\n",
    "                linewidth=1, boxprops={'edgecolor':'black','linewidth':0.75}, medianprops={'color':'black', 'linewidth':0.75},\n",
    "                whiskerprops={'color':'black', 'linewidth':0.75}, flierprops={'markerfacecolor':'black', 'markersize':0.75,\n",
    "                                                                           'linestyle':'none'}, capprops={'color':'black', 'linewidth':0.75})\n",
    "\n",
    "ax.get_lines()\n",
    "f = ax.get_figure()\n",
    "\n",
    "#f.set_size_inches((2,2))\n",
    "labels = ['No\\nuAUG', 'IF\\nuAUG', 'OOF\\nuAUG', 'OOF\\nuORF']\n",
    "ax.set_xticklabels(labels, rotation=0,horizontalalignment='center')\n",
    "ax.set_ylabel('Mean Ribosome Load', size=20)\n",
    "ax.set_xlabel('', size=0)\n",
    "ax.tick_params(axis='x', which='major', top=False, bottom=True, labelbottom=True, length=3, pad=4, labelsize=10, width=1)\n",
    "ax.tick_params(axis='y', which='major', right=False, length=3, pad=4, labelsize=10, width=1)\n",
    "legend = ax.legend(loc='lower left', ncol=1, labelspacing=0.1, frameon=True, handlelength=1,handletextpad=0.2)\n",
    "frame = legend.get_frame()\n",
    "frame.set_linewidth(1)\n",
    "frame.set_edgecolor('black')\n",
    "sns.despine()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
